Add decorator for compile tests (#8703)

* update

* update

---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

.github/workflows/push_tests.yml

@@ -330,6 +330,7 @@ jobs:
     - name: Run example tests on GPU
       env:
         HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        RUN_COMPILE: yes
       run: |
         python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile -s -v -k "compile" --make-reports=tests_torch_compile_cuda tests/
     - name: Failure short reports

src/diffusers/utils/testing_utils.py

@@ -187,6 +187,7 @@ def parse_flag_from_env(key, default=False):
 
 _run_slow_tests = parse_flag_from_env("RUN_SLOW", default=False)
 _run_nightly_tests = parse_flag_from_env("RUN_NIGHTLY", default=False)
+_run_compile_tests = parse_flag_from_env("RUN_COMPILE", default=False)
 
 
 def floats_tensor(shape, scale=1.0, rng=None, name=None):
@@ -225,6 +226,16 @@ def nightly(test_case):
     return unittest.skipUnless(_run_nightly_tests, "test is nightly")(test_case)
 
 
+def is_torch_compile(test_case):
+    """
+    Decorator marking a test that runs compile tests in the diffusers CI.
+
+    Compile tests are skipped by default. Set the RUN_COMPILE environment variable to a truthy value to run them.
+
+    """
+    return unittest.skipUnless(_run_compile_tests, "test is torch compile")(test_case)
+
+
 def require_torch(test_case):
     """
     Decorator marking a test that requires PyTorch. These tests are skipped when PyTorch isn't installed.
@@ -390,14 +401,6 @@ def get_python_version():
     return major, minor
 
 
-def require_python39_or_higher(test_case):
-    def python39_available():
-        major, minor = get_python_version()
-        return major == 3 and minor >= 9
-
-    return unittest.skipUnless(python39_available(), "test requires Python 3.9 or higher")(test_case)
-
-
 def load_numpy(arry: Union[str, np.ndarray], local_path: Optional[str] = None) -> np.ndarray:
     if isinstance(arry, str):
         if local_path is not None:

tests/models/test_modeling_common.py

@@ -43,7 +43,7 @@ from diffusers.utils import SAFE_WEIGHTS_INDEX_NAME, is_torch_npu_available, is_
 from diffusers.utils.testing_utils import (
     CaptureLogger,
     get_python_version,
-    require_python39_or_higher,
+    is_torch_compile,
     require_torch_2,
     require_torch_accelerator_with_training,
     require_torch_gpu,
@@ -512,7 +512,7 @@ class ModelTesterMixin:
         max_diff = (image - new_image).abs().max().item()
         self.assertLessEqual(max_diff, expected_max_diff, "Models give different forward passes")
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     @unittest.skipIf(
         get_python_version == (3, 12),

tests/pipelines/controlnet/test_controlnet.py

@@ -36,9 +36,9 @@ from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
     get_python_version,
+    is_torch_compile,
     load_image,
     load_numpy,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -1022,7 +1022,7 @@ class ControlNetPipelineSlowTests(unittest.TestCase):
         expected_slice = np.array([0.1655, 0.1721, 0.1623, 0.1685, 0.1711, 0.1646, 0.1651, 0.1631, 0.1494])
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     @unittest.skipIf(
         get_python_version == (3, 12),

tests/pipelines/controlnet_xs/test_controlnetxs.py

@@ -35,9 +35,9 @@ from diffusers import (
 from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
+    is_torch_compile,
     load_image,
     load_numpy,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -392,7 +392,7 @@ class ControlNetXSPipelineSlowTests(unittest.TestCase):
         expected_image = np.array([0.4844, 0.4937, 0.4956, 0.4663, 0.5039, 0.5044, 0.4565, 0.4883, 0.4941])
         assert np.allclose(original_image, expected_image, atol=1e-04)
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     def test_stable_diffusion_compile(self):
         run_test_in_subprocess(test_case=self, target_func=_test_stable_diffusion_compile, inputs=None)

tests/pipelines/stable_diffusion/test_stable_diffusion.py

@@ -45,12 +45,12 @@ from diffusers import (
 from diffusers.utils.testing_utils import (
     CaptureLogger,
     enable_full_determinism,
+    is_torch_compile,
     load_image,
     load_numpy,
     nightly,
     numpy_cosine_similarity_distance,
     require_accelerate_version_greater,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     require_torch_multi_gpu,
@@ -1282,7 +1282,7 @@ class StableDiffusionPipelineSlowTests(unittest.TestCase):
         max_diff = np.abs(expected_image - image).max()
         assert max_diff < 8e-1
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     def test_stable_diffusion_compile(self):
         seed = 0

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py

@@ -37,10 +37,10 @@ from diffusers import (
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
     floats_tensor,
+    is_torch_compile,
     load_image,
     load_numpy,
     nightly,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -643,7 +643,7 @@ class StableDiffusionImg2ImgPipelineSlowTests(unittest.TestCase):
         assert out.nsfw_content_detected[0], f"Safety checker should work for prompt: {inputs['prompt']}"
         assert np.abs(out.images[0]).sum() < 1e-5  # should be all zeros
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     def test_img2img_compile(self):
         seed = 0

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py

@@ -39,10 +39,10 @@ from diffusers import (
 from diffusers.utils.testing_utils import (
     enable_full_determinism,
     floats_tensor,
+    is_torch_compile,
     load_image,
     load_numpy,
     nightly,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -715,7 +715,7 @@ class StableDiffusionInpaintPipelineSlowTests(unittest.TestCase):
         # make sure that less than 2.2 GB is allocated
         assert mem_bytes < 2.2 * 10**9
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     def test_inpaint_compile(self):
         seed = 0
@@ -920,7 +920,7 @@ class StableDiffusionInpaintPipelineAsymmetricAutoencoderKLSlowTests(unittest.Te
         # make sure that less than 2.45 GB is allocated
         assert mem_bytes < 2.45 * 10**9
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     def test_inpaint_compile(self):
         pass

tests/pipelines/test_pipelines.py

@@ -69,12 +69,12 @@ from diffusers.utils.testing_utils import (
     floats_tensor,
     get_python_version,
     get_tests_dir,
+    is_torch_compile,
     load_numpy,
     nightly,
     require_compel,
     require_flax,
     require_onnxruntime,
-    require_python39_or_higher,
     require_torch_2,
     require_torch_gpu,
     run_test_in_subprocess,
@@ -1761,7 +1761,7 @@ class PipelineSlowTests(unittest.TestCase):
 
         assert np.abs(image - new_image).max() < 1e-5, "Models don't give the same forward pass"
 
-    @require_python39_or_higher
+    @is_torch_compile
     @require_torch_2
     @unittest.skipIf(
         get_python_version == (3, 12),